M
Masayuki Murata
Researcher at Kyushu University
Publications - 1211
Citations - 15753
Masayuki Murata is an academic researcher from Kyushu University. The author has contributed to research in topics: Network packet & Wireless sensor network. The author has an hindex of 51, co-authored 1163 publications receiving 14719 citations. Previous affiliations of Masayuki Murata include Tokyo Metropolitan University & Tokyo Institute of Technology.
Papers
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Book ChapterDOI
On the Construction of Heterogeneous Multicast Distribution Trees Using Filtering in an Active Network
TL;DR: Results show that the proposed heuristic algorithm can get advantages when network nodes participate in the construction of the heterogenous multicast distribution tree, such as the possibility to set up a larger number of simultaneous multicast sessions.
Performance of an ATM LAN switch with back-pressure function.
TL;DR: The maximum throughput of such an ATM switch with back-pressure function under bursty traffic is shown through an analytic method and the effects of the average packet length and the output buffer size on the perfomance of the switch quantitively are shown.
Proceedings ArticleDOI
All-optical RAM buffer subsystem demonstrator
Ken-ichi Kitayama,T. Kubo,R. Takahashi,Shoichiro Matsuo,Shin'ichi Arakawa,Masayuki Murata,Masaya Notomi,Kengo Nozaki,Kazutoshi Kato +8 more
TL;DR: A comprehensive R&D program aiming at all-optical RAM buffer subsystem for optical packet switching will be presented, featuring nano-cavity based optical bit memory, a unique beam addressing optics, and optical SP and PS converters.
Journal ArticleDOI
Performance evaluation of HTTP/TCP on asymmetric networks
TL;DR: The results show that the effect of HTTP/1.1 is quite small, but TCP Vegas can improve the performance in asymmetric networks if it is appropriately modified as in the proposal.
Journal ArticleDOI
Noise-induced VNE method for software-defined infrastructure with uncertain delay behaviors
TL;DR: Simulation results show that the Yuragi-based VNE method decreases VN migrations by about 29% relative to a heuristic method to adapt to fluctuations in resource requirements.